Liu, Xuefeng

22 publications

MLHC 2025 Bidirectional Hierarchical Protein Multi-Modal Representation Learning Xuefeng Liu, Songhao Jiang, Chih-chan Tien, Jinbo Xu, Rick L. Stevens
ICML 2025 Causality Inspired Federated Learning for OOD Generalization Jiayuan Zhang, Xuefeng Liu, Jianwei Niu, Shaojie Tang, Haotian Yang, Xinghao Wu
CVPRW 2025 Deciding the Path: Leveraging Multi-Agent Systems for Solving Complex Tasks Iman Abbasnejad, Xuefeng Liu, Atanu Roy
AAAI 2025 DiffDVC: Accurate Event Detection for Dense Video Captioning via Diffusion Models Wei Chen, Jianwei Niu, Xuefeng Liu, Zhendong Wang, Shaojie Tang, Guogang Zhu
ICCV 2025 Keep Your Friends Close, and Your Enemies Farther: Distance-Aware Voxel-Wise Contrastive Learning for Semi-Supervised Multi-Organ Segmentation Haochen Zhao, Jianwei Niu, Xuefeng Liu, Xiaozheng Xie, Li Kuang, Haotian Yang, Bin Dai, Hui Meng, Yong Wang
ICLR 2025 Learning from Imperfect Human Feedback: A Tale from Corruption-Robust Dueling Yuwei Cheng, Fan Yao, Xuefeng Liu, Haifeng Xu
AAAI 2025 OpenVIS: Open-Vocabulary Video Instance Segmentation Pinxue Guo, Hao Huang, Peiyang He, Xuefeng Liu, Tianjun Xiao, Wenqiang Zhang
MLHC 2025 ScaffoldGPT: A Scaffold-Based GPT Model for Drug Optimization Xuefeng Liu, Songhao Jiang, Ian Foster, Jinbo Xu, Rick L. Stevens
NeurIPS 2025 Tackling Feature-Classifier Mismatch in Federated Learning via Prompt-Driven Feature Transformation Xinghao Wu, Xuefeng Liu, Jianwei Niu, Guogang Zhu, Mingjia Shi, Shaojie Tang, Jing Yuan
IJCAI 2024 BeyondVision: An EMG-Driven Micro Hand Gesture Recognition Based on Dynamic Segmentation Nana Wang, Jianwei Niu, Xuefeng Liu, Dongqin Yu, Guogang Zhu, Xinghao Wu, Mingliang Xu, Hao Su
ICLR 2024 Blending Imitation and Reinforcement Learning for Robust Policy Improvement Xuefeng Liu, Takuma Yoneda, Rick Stevens, Matthew Walter, Yuxin Chen
NeurIPS 2024 Contextual Active Model Selection Xuefeng Liu, Fangfang Xia, Rick L. Stevens, Yuxin Chen
ICML 2024 Entropy-Reinforced Planning with Large Language Models for Drug Discovery Xuefeng Liu, Chih-Chan Tien, Peng Ding, Songhao Jiang, Rick L. Stevens
IJCAI 2024 Estimating Before Debiasing: A Bayesian Approach to Detaching Prior Bias in Federated Semi-Supervised Learning Guogang Zhu, Xuefeng Liu, Xinghao Wu, Shaojie Tang, Chao Tang, Jianwei Niu, Hao Su
NeurIPS 2024 Why Go Full? Elevating Federated Learning Through Partial Network Updates Haolin Wang, Xuefeng Liu, Jianwei Niu, Wenkai Guo, Shaojie Tang
ICML 2023 Active Policy Improvement from Multiple Black-Box Oracles Xuefeng Liu, Takuma Yoneda, Chaoqi Wang, Matthew Walter, Yuxin Chen
ICCV 2023 Bold but Cautious: Unlocking the Potential of Personalized Federated Learning Through Cautiously Aggressive Collaboration Xinghao Wu, Xuefeng Liu, Jianwei Niu, Guogang Zhu, Shaojie Tang
NeurIPSW 2023 DrugImprover: Utilizing Reinforcement Learning for Multi-Objective Alignment in Drug Optimization Xuefeng Liu, Songhao Jiang, Archit Vasan, Alexander Brace, Ozan Gokdemir, Thomas Brettin, Fangfang Xia, Ian Foster, Rick Stevens
CVPR 2021 ArtCoder: An End-to-End Method for Generating Scanning-Robust Stylized QR Codes Hao Su, Jianwei Niu, Xuefeng Liu, Qingfeng Li, Ji Wan, Mingliang Xu, Tao Ren
AAAI 2021 MangaGAN: Unpaired Photo-to-Manga Translation Based on the Methodology of Manga Drawing Hao Su, Jianwei Niu, Xuefeng Liu, Qingfeng Li, Jiahe Cui, Ji Wan
ICCV 2021 Visformer: The Vision-Friendly Transformer Zhengsu Chen, Lingxi Xie, Jianwei Niu, Xuefeng Liu, Longhui Wei, Qi Tian
IJCAI 2020 SelectScale: Mining More Patterns from Images via Selective and Soft Dropout Zhengsu Chen, Jianwei Niu, Xuefeng Liu, Shaojie Tang